A股市场特质波动率与股票预期超额回报率的关系研究——兼与美国股市对比
Study on the Relationship between Idiosyncratic Volatility and Expected Stock Excess Returns in the A-Share Market—A Comparative Study with the U.S. Stock Market
摘要: 资产定价一直是国内外学者研究的热门话题之一。本文选取了2015~2022年间我国沪深A股和美国股票市场共同作为研究对象,采用Fama-MacBeth横截面回归和分位数回归对比探究特质风险与股票预期超额回报率之间的相关关系。实证结果表明:FM回归结果中,沪深A股市场的特质波动率与股票预期回报率之间呈现显著的负相关关系,而美国股票市场上两者之间关系为负但不显著;分位数回归结果显示:我国沪深A股和美国股票市场的特质波动率与股票预期超额回报率在低分位水平下显著负相关,而在高分位水平下显著正相关,并且美国股票市场呈现正相关的分位点多于我国股票市场。
Abstract: Asset pricing has been one of the popular research topics among scholars at home and abroad. This paper selects the A-share market in Shanghai and Shenzhen, China, and the U.S. stock market from 2015 to 2022 as research subjects. Using Fama-MacBeth cross-sectional regression and quantile regression, the study explores the relationship between idiosyncratic risk and expected excess stock returns. The empirical results indicate that in the Fama-MacBeth regression, there is a significant negative correlation between idiosyncratic volatility and expected stock returns in the A-share market, whereas in the U.S. stock market, the relationship is negative but not significant. The quantile regression results show that the idiosyncratic volatility and expected excess stock returns are significantly negatively correlated to lower quantiles and significantly positively correlated at higher quantiles in both markets. Additionally, the U.S. stock market exhibits more positive correlation quantile points than the Chinese A-share market.
文章引用:张媛媛. A股市场特质波动率与股票预期超额回报率的关系研究——兼与美国股市对比[J]. 可持续发展, 2024, 14(11): 2649-2663. https://doi.org/10.12677/sd.2024.1411298

参考文献

[1] Ang, A., Hodrick, R.J., Xing, Y. and Zhang, X. (2009) High Idiosyncratic Volatility and Low Returns: International and Further U.S. Evidence. Journal of Financial Economics, 91, 1-23. [Google Scholar] [CrossRef
[2] 熊和平, 刘京军, 杨伊君, 等. 中国股票市场存在特质波动率之谜吗?——基于分位数回归模型的实证分析[J]. 管理科学学报, 2018, 21(12): 37-53.
[3] Bali, T.G. and Cakici, N. (2008) Idiosyncratic Volatility and the Cross Section of Expected Returns. Journal of Financial and Quantitative Analysis, 43, 29-58. [Google Scholar] [CrossRef
[4] Boehme, R.D., Danielsen, B.R., Kumar, P. and Sorescu, S.M. (2009) Idiosyncratic Risk and the Cross-Section of Stock Returns: Merton (1987) Meets Miller (1977). Journal of Financial Markets, 12, 438-468. [Google Scholar] [CrossRef
[5] Fu, F. (2009) Idiosyncratic Risk and the Cross-Section of Expected Stock Returns. Journal of Financial Economics, 91, 24-37. [Google Scholar] [CrossRef
[6] Wang, K., Liu, J. and Liu, Z. (2013) Disentangling the Effect of Jumps on Systematic Risk Using a New Estimator of Integrated Co-Volatility. Journal of Banking & Finance, 37, 1777-1786. [Google Scholar] [CrossRef
[7] 黄波, 李湛, 顾孟迪. 基于风险偏好资产定价模型的公司特质风险研究[J]. 管理世界, 2006, 22(11): 119-127.
[8] 李竹薇, 史永东, 于淼, 等. 中国股票市场特质波动率异象及成因[J]. 系统工程, 2014, 32(6): 1-7.
[9] 刘鹏, 田益祥. 特质风险与股票收益——来自中国股票市场的经验证据[J]. 管理学家(学术版), 2011(10): 38-47.
[10] 邓雪春, 郑振龙. 中国股市存在“特质波动率之谜”吗? [J]. 商业经济与管理, 2011(1): 60-67+75.
[11] 熊伟, 陈浪南. 股票特质波动率、股票收益与投资者情绪[J]. 管理科学, 2015, 28(5): 106-115.
[12] 熊伟. “T + 1”交易规则下的典型“T + 0”账户研究[J]. 证券市场导报, 2017(4): 55-60.
[13] 杨华蔚, 韩立岩. 中国股票市场特质波动率与横截面收益研究[J]. 北京航空航天大学学报(社会科学版), 2009, 22(1): 6-10.
[14] 徐小君. 公司特质风险与股票收益——中国股市投机行为研究[J]. 经济管理, 2010, 32(12): 127-136.
[15] 虞文微, 张兵, 赵丽君. 异质信念、卖空机制与“特质波动率之谜”——基于2698家中国A股上市公司的证据[J]. 财经科学, 2017(2): 38-50.
[16] 虞文微, 张兵, 于琴. 套利限制与中国股票市场“特质波动率之谜” [J]. 北京工商大学学报(社会科学版), 2017, 32(6): 93-103.
[17] 张兵. 中国资本市场特质波动率异象研究: 前景理论的视角[J]. 经济学报, 2021, 8(1): 83-108.
[18] 李少育, 张滕, 尚玉皇, 等. 市场摩擦对特质风险溢价的影响效应——基于A股主板市场的实证分析[J]. 金融研究, 2021(8): 190-206.
[19] 徐加根, 何家璇. 中国股市规模效应消失了吗——基于流动性冲击视角[J]. 财经科学, 2022(1): 1-14.
[20] 韦倩. 1996-2009年上海A股市场规模效应研究: 基于收益的可预测性[J]. 管理工程学报, 2014, 28(1): 74-80+93.
[21] Frazzini, A. and Pedersen, L.H. (2014) Betting against Beta. Journal of Financial Economics, 111, 1-25. [Google Scholar] [CrossRef
[22] Wan, C. (2008) Idiosyncratic Volatility, Expected Windfall, and the Cross-Section of Stock Returns. Working Paper, Boston College.